Predictable growth model based on Unit Economics & Health Scores
115%
Target Net Revenue Retention (NRR)
DATA-LED CS OPERATIONS
ENGINEERING RETENTION
< 9 MO
TARGET CAC PAYBACK
Achieved through 6+ years of refining Unit Economics in Global SaaS, Cloud, High- Risk markets (US, CIS, MENA)
Achieved through 6+ years of refining Unit Economics in Global SaaS, Cloud, High- Risk markets (US, CIS, MENA)
Measure Risk & Protect Capital with Technical Audit and Auto-Churn tools for financial P&L systems
- Auto-connecting churn data to your financial P&L
- Technical stress testing for your Unit Economics
- Predicting how customer value (LTV) changes over time
- Auto-tools to find and lower your cost-to-serve
- Predictive scoring for high-risk customers
Time to operationalize a working Risk Model
Fix Structural Churn by engineering systems to isolate broken cohorts and drive them back to profitability
- Engineering custom cohort modules to find why customers churn
- Implementing data engines to track product adoption and usage
- Developing automated workflows to fix broken customer paths
- Coding Product-Led Retention (PLR) frameworks directly into your tech stack
- Deploying algorithmic detection for toxic revenue and risk segments
Avg. Cohort Uplift in Month 3-6
Scale high-value Expansion Revenue by building automated Product-Led Growth (PLG) systems
- Developing automated Scoring to prioritize Expansion Opportunities
- Implementing Rakeback Logic and Up/Cross-sell Triggers
- QBR/EBR Standardization based on Value Realization
- Developing ML models for Pricing and Tier Optimization based on Usage Data
- Developing algorithmic Health Scores for Expansion Potential
Target GRR for >115% NRR
Scale CS Team Performance by engineering data systems and algorithmic workflows
- Building Tech Stack pipelines (CRM, Product, Billing) for Performance
- Developing Data Algorithms for Churn/Risk Signal & Monitoring
- Structuring Data-led Lifecycle Playbooks & Adoption
- Architecting Hand-Off Optimization (Sales -> CS -> Finance)
- CSM Capacity Modeling & Territory Assignment via algorithmic logic
Avg. Target Time to First Value (TTFV)
The proof is in the numbers
NRR Target Achievement
80%
Workflow Automation Coverage
90%
Avg. Time-to-Value Reduction
35%
Leveraging 5+ years of dedicated expertise in Cloud/SaaS Customer Success Revenue Architecture, this proven methodology engineers systems that stabilize retention, eliminate financial risk, and unlock predictable NRR growth
A systematic approach
to Risk Modeling,
Retention Engineering,
and Scalable CS Ops.
to Risk Modeling,
Retention Engineering,
and Scalable CS Ops.
Clear Filters
Retention-first architecture
Develop tailored Customer Success systems aligned with your business model.
Product-level engineering
Architecture, logic, and automation - developed for high-load and retention-driven businesses.
Revenue-focused systems
Every feature and flow is built to improve LTV, NRR, and operational efficiency.
Results depend on execution and business context and are not guaranteed.
My clients
Not sure where to start?
We’ll review your case and point you in the right direction.
We’ll review your case and point you in the right direction.
A clear understanding of where revenue is lost, what to fix first, and a prioritized action roadmap.
Data → Segmentation → Automation → Revenue
We implement automated retention systems using low-code tools and your existing stack — no custom development required.
By optimizing lifecycle flows, segmentation and communication logic that directly impact retention, NRR and LTV.
We use analytics, automation tools and low-code solutions integrated into your existing ecosystem.
Initial setup can be done within weeks, with early improvements visible shortly after.
You get a fully structured system ready to scale. Further optimization is optional.